THE APPLICATION OF ARTIFICIAL-INTELLIGENCE TECHNIQUES FOR INTELLIGENT CONTROL OF DYNAMICAL PHYSICAL SYSTEMS

被引:0
|
作者
KUMAR, VR
MANI, N
机构
[1] CSIRO,DIV INFORMAT TECHNOL,KNOWLEDGE BASED SYST LAB,N RYDE,NSW 2113,AUSTRALIA
[2] MONASH UNIV,DEPT ELECT & COMP SYST ENGN,CAULFIELD,VIC 3145,AUSTRALIA
关键词
ARTIFICIAL INTELLIGENCE; INTELLIGENT CONTROL; MACHINE LEARNING; FUZZY LOGIC; EXPERT SYSTEMS; NEURAL NETWORKS;
D O I
10.1002/acs.4480080407
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
There is an increasing concern among the scientific community and industrialists over the safe and reliable operation of control systems in industries. Although several adaptive control techniques have been introduced, they are not robust enough for many real-world problem domains where the degree of uncertainty is high and therefore classical methods of mathematical modeling and control fail. Computer technology has reached a point where machine intelligence can be incorporated in many of the systems that we use daily. Changes in environments, unmeasurable disturbances, changing reference models and performance criteria and component failures are some of the characteristics which necessitate intelligent control. The developments in the field of artificial intelligence have reached a stage which will help to reduce these control complexities by incorporating intelligence into the control systems. In this paper we explain various artificial intelligence techniques that can be used to control dynamical physical systems.
引用
收藏
页码:379 / 392
页数:14
相关论文
共 50 条